Fast and efficient object detection such as pedestrian detection and vehicle detection is an important task for autonomous driving. In camera-based sensing systems, object detection offers the fundamental ability for autonomous vehicles to perceive the dynamic environment in a real-time fashion. In this talk, I will be providing an overview of object detection based on computer vision and its applications for autonomous driving and the primary challenges as well as technical improvements in recent years. A number of topics will be covered in this talk, including the milestone detection approaches in history, detection datasets, performance metrics, speed-up techniques, and the recent state-of-the-art detection methods.
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Object Detection for Autonomous Driving
Semantic Scholar · Computer Science · 2019
Abstract
Fast and efficient object detection such as pedestrian detection and vehicle detection is an important task for autonomous driving. In camera-based sensing systems, object detection offers the fundamental ability for autonomous vehicles to perceive the dynamic environment in a real-time fashion. In this talk, I will be providing an overview of object detection based on computer vision and its applications for autonomous driving and the primary challenges as well as technical improvements in recent years. A number of topics will be covered in this talk, including the milestone detection approaches in history, detection datasets, performance metrics, speed-up techniques, and the recent state-of-the-art detection methods.